19 of 19 Semantic Kernel Jobs in London

such as Finetuning, Prompt engineering, prompt orchestration, retrieval methods (RAG and Knowledge graph techniques), Agentic Systems etc. Knowledge of Agentic frameworks such as LangGraph, Azure AI Foundry Agents, Semantic Kernel Agents etc. Knowledge of prompt orchestration and optimisation techniques such as Azure Semantic Kernel, Prompt flow etc. Skilled at working with AI More ❯

party services. Microsoft 365 & Graph API Integration Enable agents to access and reason over content in: SharePoint, OneDrive, Teams, Outlook, and Planner Architect multi-step agent workflows using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded … Power Platform/Agentic AI Engineer will have experience in: Copilot Studio, Power Automate, Power Apps, custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

standards. Power Platform & Agentic AI Development Build conversational agents using Microsoft Copilot Studio. Develop Power Automate flows and Power Apps integrated with GenAI services. Architect agentic workflows using Semantic Kernel, Azure OpenAI, and Planner APIs. Integrate with Microsoft Graph, SharePoint, Teams, and Outlook for enterprise data access. Deploy solutions using AKS, Azure Container Apps, and enforce … AI/ML systems and secure product design. Hands-on experience with: Microsoft Power Platform (Copilot Studio, Power Automate, Power Apps) Azure AI Services, Microsoft Graph API, and Semantic Kernel Microsoft Purview for data governance and compliance Azure Key Vault, RBAC, CI/CD pipelines, and DevSecOps Programming proficiency in Python and/or C# Familiarity More ❯

language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good understanding of software engineering best practices , including version control, testing, and CI/CD. Desirable Skills Experience creating optimised data workflows and scalable More ❯

automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering More ❯

automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering More ❯

Microsoft's low-code ecosystem. Requirements Experience with Power Platform, including: Copilot Studio, Power Automate, Power Apps, and custom connectors Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub More ❯

Microsoft's low-code ecosystem. Requirements Experience with Power Platform, including: Copilot Studio, Power Automate, Power Apps, and custom connectors Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub More ❯

CD pipelines. Understanding of solution architecture principles – scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed More ❯

CD pipelines. Understanding of solution architecture principles – scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed More ❯

CD pipelines. Understanding of solution architecture principles – scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed More ❯

CD pipelines. Understanding of solution architecture principles – scalability, security, maintainability. Excellent communication skills and the ability to work across teams and domains. Bonus: Experience with Generative AI , LangChain , Semantic Kernel , or Power Platform . Why Join? Work on meaningful projects that span healthcare, environmental, and safety domains. Be part of a team that values innovation, speed More ❯

Your skillset will include: Proven experience shipping production AI solutions. Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.). Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic). Experience with Azure integration services is a bonus. Passion for AI and automation — financial services background not required. This is a fantastic More ❯

Your skillset will include: Proven experience shipping production AI solutions. Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.). Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic). Experience with Azure integration services is a bonus. Passion for AI and automation — financial services background not required. This is a fantastic More ❯

Your skillset will include: Proven experience shipping production AI solutions. Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.). Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic). Experience with Azure integration services is a bonus. Passion for AI and automation — financial services background not required. This is a fantastic More ❯